Free / Open-sourceGenAI-native end-to-end QA agent that plans, writes and heals tests in plain language
Arize AI records 249,028 monthly visits with +3.2% month-over-month growth and Paid, Contact for Pricing pricing. Janus (now Kairos) records 0 monthly visits with 0% growth and Contact for Pricing pricing.

Battle-test and harden AI agents before they reach production.
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | arize.com | withjanus.com |
| Pricing Model | Paid, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 249.03K (249,028) | 0 (0) |
| MoM Traffic Delta | +7.67K (+3.2%) | 0 (0%) |
| Primary Market & Share | 🇺🇸 United States (51.6%) | 🌐 Global (—) |
| Direct Visits / mo | 107.84K | 0 |
| User Rating | 4.6 | 4.4 |
| Supported Platforms | Website | Website |

Agent observability, evaluation, and continuous improvement for production AI
Capture spans, traces, and sessions across agents and LLM calls using OpenInference conventions built on OpenTelemetry, so instrumentation stays portable.
Run evaluations at span, trace, and session level to grade retrieval quality, tool use, and final answers across large production datasets.
An in-product agent that inspects traces, diagnoses likely root causes, and proposes fixes that engineers can review before shipping.
Self-host the leading open-source tracing and eval tool when you need to keep trace data inside your own infrastructure.

Battle-test and harden AI agents before they reach production.
Build bespoke test suites that mirror your real workflows so agents are measured against your rules, not generic benchmarks.
Automatically flag fabricated answers, policy breaches and unsafe outputs before an agent goes live.
Catch broken API calls, malformed arguments and failed agent tool usage that would silently break automations.
Run agents through realistic simulated scenarios to surface weaknesses without exposing real customers or data.
Free / Open-sourceGenAI-native end-to-end QA agent that plans, writes and heals tests in plain language

Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability.
Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability.

Attack-led AI security testing and red teaming
Attack-led AI security testing and red teaming

Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

Focuses heavily on prompt management and versioning control, whereas Arize prioritizes end-to-end tracing and ML observability.
Focuses heavily on prompt management and versioning control, whereas Arize prioritizes end-to-end tracing and ML observability.

Offers comprehensive LLM evaluation and unit testing via DeepEval, but lacks Arize's deep production monitoring infrastructure.
Offers comprehensive LLM evaluation and unit testing via DeepEval, but lacks Arize's deep production monitoring infrastructure.

Automated QA, simulation and observability for voice and chat AI agents

Free / Open-sourceAgent observability, evals and governance for AI platform teams
Free / Open-sourceAgent observability, evals and governance for AI platform teams
SpecialistStronger focus on compliance enforcement and AI governance, but less specialized for deep developer tracing workflows.
SpecialistStronger focus on compliance enforcement and AI governance, but less specialized for deep developer tracing workflows.

Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them

Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents
Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents